The Canada retail market was valued at USD 795.57 Billion in 2024. The market is further projected to grow at a CAGR of 4.90% between 2025 and 2034, reaching a value of USD 1283.61 Billion by 2034.

In Canada Retail Market is projected to grow from USD 2.3 trillion in 2025 to USD 3.7 trillion by 2031, at a CAGR of 8.2%

In 2023, retail trade sales in Canada amounted to approximately *** billion Canadian dollars, up from ***** billion recorded a year earlier. Retail in Canada The Canadian retail trade industry constantly grew between 2012 and 2019. In that year retail trade sales increased by *** percent from 2018. In 2020, however, sales decreased by nearly *** percent amidst the coronavirus (COVID-19) pandemic. Motor vehicle and parts dealers retail sales declined nearly **** percent in 2020, while new car dealers, which accounted for about ** percent of total retail sales, declined nearly ** percent. In contrast, retail sales in other sectors such as supermarkets, and building material and garden equipment suppliers were impacted positively in 2020. Sales at supermarkets and other grocery stores increased nearly ** percent as they were essential at the start of the pandemic. On the other hand, with consumers spending more time at home, sales at building material and garden equipment suppliers grew significantly. The year-over-year change was around ** percent in 2020, but the month-over-month change increased by nearly ** percent in December 2020 against December 2019.

Canada's smart retail industry is projected to grow at a 25.31% CAGR from 2025 to 2030, fueled by technological integration and an increasing focus on consumer-centric retail solut

This statistic shows the distribution of retail market sales in Canada in 2016, by sector's share. In that year, the food sector in Canada accounted for ** percent of retail sales, while health and beauty personal care sales held ***** percent of the retail market.

Retail Trade, sales by industries based on North American Industry Classification System (NAICS), monthly.

“Canada: Retail – Market Shares, Summary & Forecasts to 2023” provides data for historic and forecast retail sales, and also includes information on the business environment and country risk related to Canada retail environment. In addition, it analyzes the key consumer trends influencing Canada retail industry: Read More

In 2024, retail e-commerce in Canada was forecast to generate over **** billion U.S. dollars in revenues. According to estimates, this figure is projected to increase to *** billion U.S. dollars by 2029. Successful e-commerce segments in Canada Canada's booming e-commerce sector owes more than half of its retail sales to two particularly lucrative segments: fashion and electronics, which captured ** and ** percent of all e-commerce retail sales in Canada in 2022, respectively. With nearly ** billion U.S. dollars in e-commerce net sales, Amazon was the leading online store in Canada in 2021, outperforming competitors like Walmart and Costco by an impressive margin. Ranking second, walmart.ca generated around **** billion U.S. dollars in e-commerce net sales that year. Fashion leads the way Fashion proved to be a successful e-commerce segment in many countries around the world, and Canada was no exception, as the most popular online stores in the fashion segment raked in millions of dollars in e-commerce net sales, led by gapcanada.ca with *** million U.S. dollars in 2021. Like many other countries in the world, Canada's fashion e-commerce sector was also disrupted by a Chinese newcomer that catapulted itself to the centerstage of the fast fashion world: Shein was the most downloaded fashion and beauty shopping app in Canada in June 2022, with its ******* monthly downloads overshadowing those of competitors. In comparison, long-established fast fashion titan Zara only amassed ****** downloads that same month.

Total retail sales in Canada represents the aggregate value of goods sold through retail channels, measured in billions of Canadian dollars. This includes sales across all retail subsectors such as food and beverage stores, motor vehicle and parts dealers, clothing and accessories, furniture and home furnishings, electronics, building materials, gasoline stations, health and personal care, and general merchandise stores. Data encompasses both brick-and-mortar and e-commerce transactions. Data is sourced from Statistics Canada's Monthly Retail Trade Survey and is presented in chained 2017 dollars.

Canada Food Retail Market is expected to grow during 2025-2031

The statistic shows the gross domestic product (GDP) at basic prices for the Canadian retail trade industry between January 2015 and November 2024, in billion Canadian dollars. In November 2024, the GDP for the retail trade sector stood at around *** billion Canadian dollars.

Retail trade, sales, Canada, provinces, territories and specific Census Metropolitan Areas based on the North American Industry Classification System (NAICS), monthly.

Canada cybersecurity for retail market is valued at USD 2.5 billion, driven by rising cyberattacks, digital payments, and e-commerce adoption to protect customer data.

This table contains 7 series, with data for years 1991 - 2004 (not all combinations necessarily have data for all years), and was last released on 2004-05-25. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Retail trade sectors (7 items: Total retail; all stores;Automotive;General merchandise stores;Food ...).

Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

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   • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
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2. Comprehensive Coverage Across Retail Segments

   • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
   • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
   • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.

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   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

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• 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
• 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
• Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
• Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles

   • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
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   • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
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   • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
   • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.

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   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
   • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.

2. Market Research and Consumer Insights

   • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
   • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.

3. E-Commerce and Digital Strategy Development

   • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
   • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.

4. Recruitment and Workforce Solutions

   • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
   • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.

2. Seamless Integration
   ...

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Retail Analytics Market Size 2025-2029

The retail analytics market size is forecast to increase by USD 28.47 billion, at a CAGR of 29.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing volume and complexity of data generated by retail businesses. This data deluge offers valuable insights for retailers, enabling them to optimize operations, enhance customer experience, and make data-driven decisions. However, this trend also presents challenges. One of the most pressing issues is the increasing adoption of Artificial Intelligence (AI) in the retail sector. While AI brings numerous benefits, such as personalized marketing and improved supply chain management, it also raises privacy and security concerns among customers.
Retailers must address these concerns through transparent data handling practices and robust security measures to maintain customer trust and loyalty. Navigating these challenges requires a strategic approach, with a focus on data security, customer privacy, and effective implementation of AI technologies. Companies that successfully harness the power of retail analytics while addressing these challenges will gain a competitive edge in the market.

What will be the Size of the Retail Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by the constant need for businesses to gain insights from their data and adapt to shifting consumer behaviors. Entities such as text analytics, data quality, price optimization, customer journey mapping, mobile analytics, time series analysis, regression analysis, social media analytics, data mining, historical data analysis, and data cleansing are integral components of this dynamic landscape. Text analytics uncovers hidden patterns and trends in unstructured data, while data quality ensures the accuracy and consistency of information. Price optimization leverages historical data to determine optimal pricing strategies, and customer journey mapping provides insights into the customer experience.

Mobile analytics caters to the growing number of mobile shoppers, and time series analysis identifies trends and patterns over time. Regression analysis uncovers relationships between variables, social media analytics monitors brand sentiment, and data mining uncovers hidden patterns and correlations. Historical data analysis informs strategic decision-making, and data cleansing prepares data for analysis. Customer feedback analysis provides valuable insights into customer satisfaction, and association rule mining uncovers relationships between customer behaviors and purchases. Predictive analytics anticipates future trends, real-time analytics delivers insights in real-time, and market basket analysis uncovers relationships between products. Data security safeguards sensitive information, machine learning (ML) and artificial intelligence (AI) enhance data analysis capabilities, and cloud-based analytics offers flexibility and scalability.

Business intelligence (BI) and open-source analytics provide comprehensive data analysis solutions, while inventory management and supply chain optimization streamline operations. Data governance ensures data is used ethically and effectively, and loyalty programs and A/B testing optimize customer engagement and retention. Seasonality analysis accounts for seasonal trends, and trend analysis identifies emerging trends. Data integration connects disparate data sources, and clickstream analysis tracks user behavior on websites. In the ever-changing retail landscape, these entities are seamlessly integrated into retail analytics solutions, enabling businesses to stay competitive and adapt to evolving market dynamics.

How is this Retail Analytics Industry segmented?

The retail analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  In-store operation
  Customer management
  Supply chain management
  Marketing and merchandizing
  Others


Component

  Software
  Services


Deployment

  Cloud-based
  On-premises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The in-store operation segment is estimated to witness significant growth during the forecast period. In the realm of retail, the in-store operation segment of the market plays a pivotal role in optimizing brick-and-mortar retail operations. This segment encompasses various data analytics applications within phys

Canada Cloud Retail Market growth is driven by increasing digital transformation in the retail sector and the rising adoption of cloud technologies.

Canada Sports Equipment and Retail Market valued at USD 4.5 billion, driven by health awareness, outdoor activities, and e-commerce growth in key cities like Toronto and Vancouver.

This table contains 1451 series, with data for years 1971 - 1989 (not all combinations necessarily have data for all years), and was last released on 2010-04-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (18 items: Canada;Newfoundland and Labrador;Prince Edward Island;Nova Scotia ...), Type of retail store (34 items: Total retail; all stores;Combination stores;Grocery confectionery and sundries stores;All other food stores ...), Retail trade components (3 items: Chain;Independent;All stores ...), Adjustments (4 items: Unadjusted;Direct seasonally adjusted;Indirect seasonally adjusted;Seasonally adjusted ...).

Canada Luggage & Bags Retail Market valued at USD 1.5 Bn, driven by travel growth, e-commerce, and eco-friendly innovations, with key segments in hard shell and individual consumers.